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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 10 Oct 2011 05:29:32 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/10/t1318239034al2rd8qcvfjxssx.htm/, Retrieved Thu, 16 May 2024 02:14:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127531, Retrieved Thu, 16 May 2024 02:14:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact150

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen Prij...] [2011-10-10 09:29:32] [659094c92b72720b61457cd096818e91] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.5
31.29
31.3
31.06
31.09
31.11
31.13
31.1
31.03
30.74
30.83
30.82
30.8
30.74
30.71
30.58
30.71
30.7
30.7
30.72
30.68
30.78
30.84
30.8
30.8
30.88
30.87
30.92
30.82
30.75
30.75
30.75
30.63
30.52
30.58
30.6
30.6
30.63
30.56
30.61
30.53
30.6
30.6
30.63
30.66
30.34
30.32
30.3
30.3
30.08
29.96
29.91
29.83
29.89
29.85
30.06
29.83
29.95
30.02
30.03

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127531&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127531&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127531&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0129.83210446680540.00678014082092683
0.0229.83735640245640.0169300212105432
0.0329.84620621033340.0274327839977137
0.0429.85831533503360.0364299683809155
0.0529.87291514561320.0434967078442714
0.0629.88920036297740.0491080307520061
0.0729.90657522098970.0540992975580504
0.0829.92473273670590.0592659285901272
0.0929.94362576915990.0652337225327754
0.129.96339361247660.0724017836020964
0.1129.98428272378140.0810496549921405
0.1230.00657579374250.0911709517807427
0.1330.03053090141090.102507244622085
0.1430.05633049613060.114578427590353
0.1530.08404254090850.126628967323337
0.1630.11359815888280.137886909266917
0.1730.1447891370430.147608615650492
0.1830.17728498938590.155211739789197
0.1930.21066489503860.160429695451574
0.230.24445681063620.163108499345875
0.2130.27817561598810.163354613067329
0.2230.31135420030330.161350068746872
0.2330.34356482771570.157287459252729
0.2430.37443147483150.151388674998113
0.2530.4036359649990.143856021385779
0.2630.43092119595240.134915766002004
0.2730.45609384908110.124806511277762
0.2830.47902739833660.113882930423745
0.2930.49966478132810.102512450637572
0.330.5180192856530.0911110620564301
0.3130.53417219717650.0800454139447384
0.3230.54826638266480.0697460348895078
0.3330.56049588901220.0604702805795603
0.3430.57109248025460.0524691677027802
0.3530.58031056035780.0458699556390832
0.3630.58841206203870.040757386773515
0.3730.59565267468540.0370641585219283
0.3830.60227037173340.0347129094858747
0.3930.60847672864280.0335106821736263
0.430.61445111399480.0332694906612776
0.4130.62033755175640.033690573631946
0.4230.62624390345420.0345941215333903
0.4330.63224297832680.035738532595043
0.4430.63837520323130.036943718357532
0.4530.64465252790770.038057979237925
0.4630.65106327295580.0389763607612056
0.4730.65757763291050.0395834238980315
0.4830.66415352767690.0398603755036497
0.4930.67074246748070.0397563423819281
0.530.6772950799620.0393358907678517
0.5130.68376596138140.0385910723887604
0.5230.69011756676470.0376466960466049
0.5330.69632294387980.0365360360890395
0.5430.70236722959310.0353667343540003
0.5530.70824794372410.0342275491702146
0.5630.71397421407460.0331678317661369
0.5730.71956513239090.0322840582029157
0.5830.72504747125690.0315647002888536
0.5930.73045299451830.0310588597610606
0.630.73581558483940.030788450052429
0.6130.74116840828870.0307197715151277
0.6230.74654134771820.0307934288285222
0.6330.75195896260250.0310110793713975
0.6430.75743925890520.0312948871968832
0.6530.7629935564570.0316038441271684
0.6630.76862770152380.0318903112147852
0.6730.77434477615330.0321024531139649
0.6830.78014930606860.0322517852530214
0.6930.78605278303420.0323876157427482
0.730.79208012222390.0325601498357303
0.7130.79827649448260.0329296302537083
0.7230.8047138190320.033599462313444
0.7330.8114960683370.0348284388896036
0.7430.81876240677370.0367525420130427
0.7530.82668704965580.039563804920823
0.7630.83547461542750.043433378392191
0.7730.84534973777460.0483815293489485
0.7830.85653995920670.0543875583640398
0.7930.86925163603560.061266166804224
0.830.88363990954530.068690828359962
0.8130.89977577015950.0761617529270602
0.8230.91761565444090.083060707067534
0.8330.93698136633490.0886756620584329
0.8430.95755963131680.0923301423184043
0.8530.97893034744880.0934809824341431
0.8631.00062966718510.0919261713953392
0.8731.02224765655760.0878645567980391
0.8831.04355002218150.0820403998596635
0.8931.06459984639410.0757957866520447
0.931.08584165157470.0709602631879129
0.9131.10810513624510.0695399107961946
0.9231.13250545939060.0727371473945205
0.9331.16027687993790.0798261871169731
0.9431.19266402973810.0881466899436139
0.9531.23101502519560.0948028706060115
0.9631.27696956446720.0996669126473105
0.9731.33197081943660.108763750951673
0.9831.3947447611280.131389538318014
0.9931.45666906263770.166357410199729

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 29.8321044668054 & 0.00678014082092683 \tabularnewline
0.02 & 29.8373564024564 & 0.0169300212105432 \tabularnewline
0.03 & 29.8462062103334 & 0.0274327839977137 \tabularnewline
0.04 & 29.8583153350336 & 0.0364299683809155 \tabularnewline
0.05 & 29.8729151456132 & 0.0434967078442714 \tabularnewline
0.06 & 29.8892003629774 & 0.0491080307520061 \tabularnewline
0.07 & 29.9065752209897 & 0.0540992975580504 \tabularnewline
0.08 & 29.9247327367059 & 0.0592659285901272 \tabularnewline
0.09 & 29.9436257691599 & 0.0652337225327754 \tabularnewline
0.1 & 29.9633936124766 & 0.0724017836020964 \tabularnewline
0.11 & 29.9842827237814 & 0.0810496549921405 \tabularnewline
0.12 & 30.0065757937425 & 0.0911709517807427 \tabularnewline
0.13 & 30.0305309014109 & 0.102507244622085 \tabularnewline
0.14 & 30.0563304961306 & 0.114578427590353 \tabularnewline
0.15 & 30.0840425409085 & 0.126628967323337 \tabularnewline
0.16 & 30.1135981588828 & 0.137886909266917 \tabularnewline
0.17 & 30.144789137043 & 0.147608615650492 \tabularnewline
0.18 & 30.1772849893859 & 0.155211739789197 \tabularnewline
0.19 & 30.2106648950386 & 0.160429695451574 \tabularnewline
0.2 & 30.2444568106362 & 0.163108499345875 \tabularnewline
0.21 & 30.2781756159881 & 0.163354613067329 \tabularnewline
0.22 & 30.3113542003033 & 0.161350068746872 \tabularnewline
0.23 & 30.3435648277157 & 0.157287459252729 \tabularnewline
0.24 & 30.3744314748315 & 0.151388674998113 \tabularnewline
0.25 & 30.403635964999 & 0.143856021385779 \tabularnewline
0.26 & 30.4309211959524 & 0.134915766002004 \tabularnewline
0.27 & 30.4560938490811 & 0.124806511277762 \tabularnewline
0.28 & 30.4790273983366 & 0.113882930423745 \tabularnewline
0.29 & 30.4996647813281 & 0.102512450637572 \tabularnewline
0.3 & 30.518019285653 & 0.0911110620564301 \tabularnewline
0.31 & 30.5341721971765 & 0.0800454139447384 \tabularnewline
0.32 & 30.5482663826648 & 0.0697460348895078 \tabularnewline
0.33 & 30.5604958890122 & 0.0604702805795603 \tabularnewline
0.34 & 30.5710924802546 & 0.0524691677027802 \tabularnewline
0.35 & 30.5803105603578 & 0.0458699556390832 \tabularnewline
0.36 & 30.5884120620387 & 0.040757386773515 \tabularnewline
0.37 & 30.5956526746854 & 0.0370641585219283 \tabularnewline
0.38 & 30.6022703717334 & 0.0347129094858747 \tabularnewline
0.39 & 30.6084767286428 & 0.0335106821736263 \tabularnewline
0.4 & 30.6144511139948 & 0.0332694906612776 \tabularnewline
0.41 & 30.6203375517564 & 0.033690573631946 \tabularnewline
0.42 & 30.6262439034542 & 0.0345941215333903 \tabularnewline
0.43 & 30.6322429783268 & 0.035738532595043 \tabularnewline
0.44 & 30.6383752032313 & 0.036943718357532 \tabularnewline
0.45 & 30.6446525279077 & 0.038057979237925 \tabularnewline
0.46 & 30.6510632729558 & 0.0389763607612056 \tabularnewline
0.47 & 30.6575776329105 & 0.0395834238980315 \tabularnewline
0.48 & 30.6641535276769 & 0.0398603755036497 \tabularnewline
0.49 & 30.6707424674807 & 0.0397563423819281 \tabularnewline
0.5 & 30.677295079962 & 0.0393358907678517 \tabularnewline
0.51 & 30.6837659613814 & 0.0385910723887604 \tabularnewline
0.52 & 30.6901175667647 & 0.0376466960466049 \tabularnewline
0.53 & 30.6963229438798 & 0.0365360360890395 \tabularnewline
0.54 & 30.7023672295931 & 0.0353667343540003 \tabularnewline
0.55 & 30.7082479437241 & 0.0342275491702146 \tabularnewline
0.56 & 30.7139742140746 & 0.0331678317661369 \tabularnewline
0.57 & 30.7195651323909 & 0.0322840582029157 \tabularnewline
0.58 & 30.7250474712569 & 0.0315647002888536 \tabularnewline
0.59 & 30.7304529945183 & 0.0310588597610606 \tabularnewline
0.6 & 30.7358155848394 & 0.030788450052429 \tabularnewline
0.61 & 30.7411684082887 & 0.0307197715151277 \tabularnewline
0.62 & 30.7465413477182 & 0.0307934288285222 \tabularnewline
0.63 & 30.7519589626025 & 0.0310110793713975 \tabularnewline
0.64 & 30.7574392589052 & 0.0312948871968832 \tabularnewline
0.65 & 30.762993556457 & 0.0316038441271684 \tabularnewline
0.66 & 30.7686277015238 & 0.0318903112147852 \tabularnewline
0.67 & 30.7743447761533 & 0.0321024531139649 \tabularnewline
0.68 & 30.7801493060686 & 0.0322517852530214 \tabularnewline
0.69 & 30.7860527830342 & 0.0323876157427482 \tabularnewline
0.7 & 30.7920801222239 & 0.0325601498357303 \tabularnewline
0.71 & 30.7982764944826 & 0.0329296302537083 \tabularnewline
0.72 & 30.804713819032 & 0.033599462313444 \tabularnewline
0.73 & 30.811496068337 & 0.0348284388896036 \tabularnewline
0.74 & 30.8187624067737 & 0.0367525420130427 \tabularnewline
0.75 & 30.8266870496558 & 0.039563804920823 \tabularnewline
0.76 & 30.8354746154275 & 0.043433378392191 \tabularnewline
0.77 & 30.8453497377746 & 0.0483815293489485 \tabularnewline
0.78 & 30.8565399592067 & 0.0543875583640398 \tabularnewline
0.79 & 30.8692516360356 & 0.061266166804224 \tabularnewline
0.8 & 30.8836399095453 & 0.068690828359962 \tabularnewline
0.81 & 30.8997757701595 & 0.0761617529270602 \tabularnewline
0.82 & 30.9176156544409 & 0.083060707067534 \tabularnewline
0.83 & 30.9369813663349 & 0.0886756620584329 \tabularnewline
0.84 & 30.9575596313168 & 0.0923301423184043 \tabularnewline
0.85 & 30.9789303474488 & 0.0934809824341431 \tabularnewline
0.86 & 31.0006296671851 & 0.0919261713953392 \tabularnewline
0.87 & 31.0222476565576 & 0.0878645567980391 \tabularnewline
0.88 & 31.0435500221815 & 0.0820403998596635 \tabularnewline
0.89 & 31.0645998463941 & 0.0757957866520447 \tabularnewline
0.9 & 31.0858416515747 & 0.0709602631879129 \tabularnewline
0.91 & 31.1081051362451 & 0.0695399107961946 \tabularnewline
0.92 & 31.1325054593906 & 0.0727371473945205 \tabularnewline
0.93 & 31.1602768799379 & 0.0798261871169731 \tabularnewline
0.94 & 31.1926640297381 & 0.0881466899436139 \tabularnewline
0.95 & 31.2310150251956 & 0.0948028706060115 \tabularnewline
0.96 & 31.2769695644672 & 0.0996669126473105 \tabularnewline
0.97 & 31.3319708194366 & 0.108763750951673 \tabularnewline
0.98 & 31.394744761128 & 0.131389538318014 \tabularnewline
0.99 & 31.4566690626377 & 0.166357410199729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127531&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]29.8321044668054[/C][C]0.00678014082092683[/C][/ROW]
[ROW][C]0.02[/C][C]29.8373564024564[/C][C]0.0169300212105432[/C][/ROW]
[ROW][C]0.03[/C][C]29.8462062103334[/C][C]0.0274327839977137[/C][/ROW]
[ROW][C]0.04[/C][C]29.8583153350336[/C][C]0.0364299683809155[/C][/ROW]
[ROW][C]0.05[/C][C]29.8729151456132[/C][C]0.0434967078442714[/C][/ROW]
[ROW][C]0.06[/C][C]29.8892003629774[/C][C]0.0491080307520061[/C][/ROW]
[ROW][C]0.07[/C][C]29.9065752209897[/C][C]0.0540992975580504[/C][/ROW]
[ROW][C]0.08[/C][C]29.9247327367059[/C][C]0.0592659285901272[/C][/ROW]
[ROW][C]0.09[/C][C]29.9436257691599[/C][C]0.0652337225327754[/C][/ROW]
[ROW][C]0.1[/C][C]29.9633936124766[/C][C]0.0724017836020964[/C][/ROW]
[ROW][C]0.11[/C][C]29.9842827237814[/C][C]0.0810496549921405[/C][/ROW]
[ROW][C]0.12[/C][C]30.0065757937425[/C][C]0.0911709517807427[/C][/ROW]
[ROW][C]0.13[/C][C]30.0305309014109[/C][C]0.102507244622085[/C][/ROW]
[ROW][C]0.14[/C][C]30.0563304961306[/C][C]0.114578427590353[/C][/ROW]
[ROW][C]0.15[/C][C]30.0840425409085[/C][C]0.126628967323337[/C][/ROW]
[ROW][C]0.16[/C][C]30.1135981588828[/C][C]0.137886909266917[/C][/ROW]
[ROW][C]0.17[/C][C]30.144789137043[/C][C]0.147608615650492[/C][/ROW]
[ROW][C]0.18[/C][C]30.1772849893859[/C][C]0.155211739789197[/C][/ROW]
[ROW][C]0.19[/C][C]30.2106648950386[/C][C]0.160429695451574[/C][/ROW]
[ROW][C]0.2[/C][C]30.2444568106362[/C][C]0.163108499345875[/C][/ROW]
[ROW][C]0.21[/C][C]30.2781756159881[/C][C]0.163354613067329[/C][/ROW]
[ROW][C]0.22[/C][C]30.3113542003033[/C][C]0.161350068746872[/C][/ROW]
[ROW][C]0.23[/C][C]30.3435648277157[/C][C]0.157287459252729[/C][/ROW]
[ROW][C]0.24[/C][C]30.3744314748315[/C][C]0.151388674998113[/C][/ROW]
[ROW][C]0.25[/C][C]30.403635964999[/C][C]0.143856021385779[/C][/ROW]
[ROW][C]0.26[/C][C]30.4309211959524[/C][C]0.134915766002004[/C][/ROW]
[ROW][C]0.27[/C][C]30.4560938490811[/C][C]0.124806511277762[/C][/ROW]
[ROW][C]0.28[/C][C]30.4790273983366[/C][C]0.113882930423745[/C][/ROW]
[ROW][C]0.29[/C][C]30.4996647813281[/C][C]0.102512450637572[/C][/ROW]
[ROW][C]0.3[/C][C]30.518019285653[/C][C]0.0911110620564301[/C][/ROW]
[ROW][C]0.31[/C][C]30.5341721971765[/C][C]0.0800454139447384[/C][/ROW]
[ROW][C]0.32[/C][C]30.5482663826648[/C][C]0.0697460348895078[/C][/ROW]
[ROW][C]0.33[/C][C]30.5604958890122[/C][C]0.0604702805795603[/C][/ROW]
[ROW][C]0.34[/C][C]30.5710924802546[/C][C]0.0524691677027802[/C][/ROW]
[ROW][C]0.35[/C][C]30.5803105603578[/C][C]0.0458699556390832[/C][/ROW]
[ROW][C]0.36[/C][C]30.5884120620387[/C][C]0.040757386773515[/C][/ROW]
[ROW][C]0.37[/C][C]30.5956526746854[/C][C]0.0370641585219283[/C][/ROW]
[ROW][C]0.38[/C][C]30.6022703717334[/C][C]0.0347129094858747[/C][/ROW]
[ROW][C]0.39[/C][C]30.6084767286428[/C][C]0.0335106821736263[/C][/ROW]
[ROW][C]0.4[/C][C]30.6144511139948[/C][C]0.0332694906612776[/C][/ROW]
[ROW][C]0.41[/C][C]30.6203375517564[/C][C]0.033690573631946[/C][/ROW]
[ROW][C]0.42[/C][C]30.6262439034542[/C][C]0.0345941215333903[/C][/ROW]
[ROW][C]0.43[/C][C]30.6322429783268[/C][C]0.035738532595043[/C][/ROW]
[ROW][C]0.44[/C][C]30.6383752032313[/C][C]0.036943718357532[/C][/ROW]
[ROW][C]0.45[/C][C]30.6446525279077[/C][C]0.038057979237925[/C][/ROW]
[ROW][C]0.46[/C][C]30.6510632729558[/C][C]0.0389763607612056[/C][/ROW]
[ROW][C]0.47[/C][C]30.6575776329105[/C][C]0.0395834238980315[/C][/ROW]
[ROW][C]0.48[/C][C]30.6641535276769[/C][C]0.0398603755036497[/C][/ROW]
[ROW][C]0.49[/C][C]30.6707424674807[/C][C]0.0397563423819281[/C][/ROW]
[ROW][C]0.5[/C][C]30.677295079962[/C][C]0.0393358907678517[/C][/ROW]
[ROW][C]0.51[/C][C]30.6837659613814[/C][C]0.0385910723887604[/C][/ROW]
[ROW][C]0.52[/C][C]30.6901175667647[/C][C]0.0376466960466049[/C][/ROW]
[ROW][C]0.53[/C][C]30.6963229438798[/C][C]0.0365360360890395[/C][/ROW]
[ROW][C]0.54[/C][C]30.7023672295931[/C][C]0.0353667343540003[/C][/ROW]
[ROW][C]0.55[/C][C]30.7082479437241[/C][C]0.0342275491702146[/C][/ROW]
[ROW][C]0.56[/C][C]30.7139742140746[/C][C]0.0331678317661369[/C][/ROW]
[ROW][C]0.57[/C][C]30.7195651323909[/C][C]0.0322840582029157[/C][/ROW]
[ROW][C]0.58[/C][C]30.7250474712569[/C][C]0.0315647002888536[/C][/ROW]
[ROW][C]0.59[/C][C]30.7304529945183[/C][C]0.0310588597610606[/C][/ROW]
[ROW][C]0.6[/C][C]30.7358155848394[/C][C]0.030788450052429[/C][/ROW]
[ROW][C]0.61[/C][C]30.7411684082887[/C][C]0.0307197715151277[/C][/ROW]
[ROW][C]0.62[/C][C]30.7465413477182[/C][C]0.0307934288285222[/C][/ROW]
[ROW][C]0.63[/C][C]30.7519589626025[/C][C]0.0310110793713975[/C][/ROW]
[ROW][C]0.64[/C][C]30.7574392589052[/C][C]0.0312948871968832[/C][/ROW]
[ROW][C]0.65[/C][C]30.762993556457[/C][C]0.0316038441271684[/C][/ROW]
[ROW][C]0.66[/C][C]30.7686277015238[/C][C]0.0318903112147852[/C][/ROW]
[ROW][C]0.67[/C][C]30.7743447761533[/C][C]0.0321024531139649[/C][/ROW]
[ROW][C]0.68[/C][C]30.7801493060686[/C][C]0.0322517852530214[/C][/ROW]
[ROW][C]0.69[/C][C]30.7860527830342[/C][C]0.0323876157427482[/C][/ROW]
[ROW][C]0.7[/C][C]30.7920801222239[/C][C]0.0325601498357303[/C][/ROW]
[ROW][C]0.71[/C][C]30.7982764944826[/C][C]0.0329296302537083[/C][/ROW]
[ROW][C]0.72[/C][C]30.804713819032[/C][C]0.033599462313444[/C][/ROW]
[ROW][C]0.73[/C][C]30.811496068337[/C][C]0.0348284388896036[/C][/ROW]
[ROW][C]0.74[/C][C]30.8187624067737[/C][C]0.0367525420130427[/C][/ROW]
[ROW][C]0.75[/C][C]30.8266870496558[/C][C]0.039563804920823[/C][/ROW]
[ROW][C]0.76[/C][C]30.8354746154275[/C][C]0.043433378392191[/C][/ROW]
[ROW][C]0.77[/C][C]30.8453497377746[/C][C]0.0483815293489485[/C][/ROW]
[ROW][C]0.78[/C][C]30.8565399592067[/C][C]0.0543875583640398[/C][/ROW]
[ROW][C]0.79[/C][C]30.8692516360356[/C][C]0.061266166804224[/C][/ROW]
[ROW][C]0.8[/C][C]30.8836399095453[/C][C]0.068690828359962[/C][/ROW]
[ROW][C]0.81[/C][C]30.8997757701595[/C][C]0.0761617529270602[/C][/ROW]
[ROW][C]0.82[/C][C]30.9176156544409[/C][C]0.083060707067534[/C][/ROW]
[ROW][C]0.83[/C][C]30.9369813663349[/C][C]0.0886756620584329[/C][/ROW]
[ROW][C]0.84[/C][C]30.9575596313168[/C][C]0.0923301423184043[/C][/ROW]
[ROW][C]0.85[/C][C]30.9789303474488[/C][C]0.0934809824341431[/C][/ROW]
[ROW][C]0.86[/C][C]31.0006296671851[/C][C]0.0919261713953392[/C][/ROW]
[ROW][C]0.87[/C][C]31.0222476565576[/C][C]0.0878645567980391[/C][/ROW]
[ROW][C]0.88[/C][C]31.0435500221815[/C][C]0.0820403998596635[/C][/ROW]
[ROW][C]0.89[/C][C]31.0645998463941[/C][C]0.0757957866520447[/C][/ROW]
[ROW][C]0.9[/C][C]31.0858416515747[/C][C]0.0709602631879129[/C][/ROW]
[ROW][C]0.91[/C][C]31.1081051362451[/C][C]0.0695399107961946[/C][/ROW]
[ROW][C]0.92[/C][C]31.1325054593906[/C][C]0.0727371473945205[/C][/ROW]
[ROW][C]0.93[/C][C]31.1602768799379[/C][C]0.0798261871169731[/C][/ROW]
[ROW][C]0.94[/C][C]31.1926640297381[/C][C]0.0881466899436139[/C][/ROW]
[ROW][C]0.95[/C][C]31.2310150251956[/C][C]0.0948028706060115[/C][/ROW]
[ROW][C]0.96[/C][C]31.2769695644672[/C][C]0.0996669126473105[/C][/ROW]
[ROW][C]0.97[/C][C]31.3319708194366[/C][C]0.108763750951673[/C][/ROW]
[ROW][C]0.98[/C][C]31.394744761128[/C][C]0.131389538318014[/C][/ROW]
[ROW][C]0.99[/C][C]31.4566690626377[/C][C]0.166357410199729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127531&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127531&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0129.83210446680540.00678014082092683
0.0229.83735640245640.0169300212105432
0.0329.84620621033340.0274327839977137
0.0429.85831533503360.0364299683809155
0.0529.87291514561320.0434967078442714
0.0629.88920036297740.0491080307520061
0.0729.90657522098970.0540992975580504
0.0829.92473273670590.0592659285901272
0.0929.94362576915990.0652337225327754
0.129.96339361247660.0724017836020964
0.1129.98428272378140.0810496549921405
0.1230.00657579374250.0911709517807427
0.1330.03053090141090.102507244622085
0.1430.05633049613060.114578427590353
0.1530.08404254090850.126628967323337
0.1630.11359815888280.137886909266917
0.1730.1447891370430.147608615650492
0.1830.17728498938590.155211739789197
0.1930.21066489503860.160429695451574
0.230.24445681063620.163108499345875
0.2130.27817561598810.163354613067329
0.2230.31135420030330.161350068746872
0.2330.34356482771570.157287459252729
0.2430.37443147483150.151388674998113
0.2530.4036359649990.143856021385779
0.2630.43092119595240.134915766002004
0.2730.45609384908110.124806511277762
0.2830.47902739833660.113882930423745
0.2930.49966478132810.102512450637572
0.330.5180192856530.0911110620564301
0.3130.53417219717650.0800454139447384
0.3230.54826638266480.0697460348895078
0.3330.56049588901220.0604702805795603
0.3430.57109248025460.0524691677027802
0.3530.58031056035780.0458699556390832
0.3630.58841206203870.040757386773515
0.3730.59565267468540.0370641585219283
0.3830.60227037173340.0347129094858747
0.3930.60847672864280.0335106821736263
0.430.61445111399480.0332694906612776
0.4130.62033755175640.033690573631946
0.4230.62624390345420.0345941215333903
0.4330.63224297832680.035738532595043
0.4430.63837520323130.036943718357532
0.4530.64465252790770.038057979237925
0.4630.65106327295580.0389763607612056
0.4730.65757763291050.0395834238980315
0.4830.66415352767690.0398603755036497
0.4930.67074246748070.0397563423819281
0.530.6772950799620.0393358907678517
0.5130.68376596138140.0385910723887604
0.5230.69011756676470.0376466960466049
0.5330.69632294387980.0365360360890395
0.5430.70236722959310.0353667343540003
0.5530.70824794372410.0342275491702146
0.5630.71397421407460.0331678317661369
0.5730.71956513239090.0322840582029157
0.5830.72504747125690.0315647002888536
0.5930.73045299451830.0310588597610606
0.630.73581558483940.030788450052429
0.6130.74116840828870.0307197715151277
0.6230.74654134771820.0307934288285222
0.6330.75195896260250.0310110793713975
0.6430.75743925890520.0312948871968832
0.6530.7629935564570.0316038441271684
0.6630.76862770152380.0318903112147852
0.6730.77434477615330.0321024531139649
0.6830.78014930606860.0322517852530214
0.6930.78605278303420.0323876157427482
0.730.79208012222390.0325601498357303
0.7130.79827649448260.0329296302537083
0.7230.8047138190320.033599462313444
0.7330.8114960683370.0348284388896036
0.7430.81876240677370.0367525420130427
0.7530.82668704965580.039563804920823
0.7630.83547461542750.043433378392191
0.7730.84534973777460.0483815293489485
0.7830.85653995920670.0543875583640398
0.7930.86925163603560.061266166804224
0.830.88363990954530.068690828359962
0.8130.89977577015950.0761617529270602
0.8230.91761565444090.083060707067534
0.8330.93698136633490.0886756620584329
0.8430.95755963131680.0923301423184043
0.8530.97893034744880.0934809824341431
0.8631.00062966718510.0919261713953392
0.8731.02224765655760.0878645567980391
0.8831.04355002218150.0820403998596635
0.8931.06459984639410.0757957866520447
0.931.08584165157470.0709602631879129
0.9131.10810513624510.0695399107961946
0.9231.13250545939060.0727371473945205
0.9331.16027687993790.0798261871169731
0.9431.19266402973810.0881466899436139
0.9531.23101502519560.0948028706060115
0.9631.27696956446720.0996669126473105
0.9731.33197081943660.108763750951673
0.9831.3947447611280.131389538318014
0.9931.45666906263770.166357410199729


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')